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The purpose of this paper is to investigate types, contexts and consequences of electronic HRM (e-HRM) configurations to get a deeper understanding of the reasons, kinds and success of different e-HRM types.

The paper uses a cross-sectional survey of senior HR persons and analyses data with exploratory methods, i.e. cluster analysis, classification tree analysis and analysis of variance.

The results show that actually three configurations of e-HRM – “non users”, “operational users” and “power users” – exist. These can be explained by a sparse, yet meaningful set of contextual variables. All three configurations markedly contribute to organisational success, whereas the “power user”-configuration exceeds the other configurations.

The employed e-HRM typology shows a precursory status and the empirical study is exploratory in nature. Thus, searching for a clearer theoretical foundation, improving the hypothesising of variables and undertaking further empirical studies to replicate the findings are necessary future steps.

Not always a maximum of electronic support seems to be indicated. Depending on the respective organisational context, even no electronic support, or else, a merely operational electronic support appears to be admissible; while, however, in larger and strategic-oriented organisations full electronic support outperforms other configurations.

–The paper focuses on different e-HRM types and gives some first insights into reasons, kinds and success of different configurations. This should lead to a refined understanding of e-HRM and evoke further research on the subject.

While current human resource management (HRM) research on the relationship between HRM and employee well-being has focused on performance-oriented HRM (e.g. high-performance work practices), scholars have called to broaden the perspective and to explore HRM practices that are indeed well-being-oriented. The purpose of this paper is to analyze the empirical diffusion of well-being-oriented HRM configurations, the conditions in which these are used, and their associations with health, happiness and relational well-being.

Analyses are based on a probabilistic subsample of 1,364 employees in Germany. Employee data are used, since individual employees' perceptions of HRM practices are crucial for understanding the effects of HRM on employee well-being. Configurations of well-being-oriented HRM practices are identified using latent class analysis.

Findings show that (1) employees experience diverse configurations of well-being-oriented HRM practices, which differ in their investment levels and the specific practices used; (2) these configurations are contingent on organizational-level and individual-level characteristics and (3) these configurations have diverse associations with different well-being dimensions. Importantly, configurations characterized by higher investments are not always associated with higher well-being, and the highest well-being is associated with a configuration based on high investment in well-being-oriented HRM focused on support from supervisors.

This exploratory paper is the first to analyze configurations of well-being-oriented HRM practices. By focusing on well-being-oriented HRM it complements previous research which usually addresses how HRM systems designed to enhance performance affect employee well-being.

This paper explores the use of social media (SM) in Human Resource Management (HRM). Building on the configurational approach, the study investigates the existence of different configurations of social e-HRM, their consequences for the organizations and their predictors.

This empirical study draws on a survey administered to HR directors of 176 companies operating in Italy. Two-step cluster analysis, test for variance and logistic regressions were employed for data analysis.

Three social e-HRM configurations emerged – non-use, relational use and extended relational use – which distinguish different goals for using SM in HRM. The three configurations lead to similar outcomes for organizations, even if SM users, in general, enjoy greater success than non-users. Certain structural, strategic and HRM factors are systematically and variously associated with each configuration.

The study is based on cross-sectional research, and thus it is difficult to identify causal links between the variables. The study also relies on data collected in a specific national context, which limits the generalizability of the results.

The study suggests that different and equally effective social e-HRM configurations exist and that their presence is predicted by specific structural, strategic and HRM factors.

The study contributes to an emerging and still scarce literature on types, drivers and outcomes of SM use in HRM.

Previous literature has identified human resources as a key source of competitive advantage in organizations of all sizes. However, Small and Medium-sized Enterprises (SMEs) face difficulty in comprehensively implementing all recommended Human Resource Management (HRM) functions. In this study, we shed light on the field of HRM in SMEs by focusing on the context of Greek Small and Medium-sized Hotels (SMHs), which represent a dominant private sector employer across the country.

Using a fuzzy-set qualitative comparative analysis (fsQCA) and 34 in-depth interviews with SMHs' owners/managers, we explore the HRM conditions leading to high levels of performance, while taking into consideration the influence of internal key determinants.

We uncover three alternative successful HRM strategies that maximize business performance, namely the Compensation-based performers, the HRM developers and the HRM investors. Each strategy fits discreet organizational characteristics related to company size, ownership type and organizational structure.

To the best of the authors' knowledge this is among the first empirical studies that examine different and equifinal performance-enhancing configurations of HRM practices in SMHs.

This study aims to explore the relationship between IT and HRM in the context of manufacturing SMEs, more specifically the relationship between strategic HRM and e-HRM as well as the performance effects of this relationship. The conceptual framework is founded upon the resource-based view (RBV), specifically upon the strategic HRM and e-HRM capabilities of SMEs and upon the strategic alignment of these capabilities in the form of capability configurations or “gestalts.”

To answer the research questions, a questionnaire was constructed and mailed to 1854 manufacturing SMEs in the province of Quebec, Canada, producing 216 valid responses that were used for statistical analysis purposes. Capability configurations were identified through a cluster analysis of the e-HRM and strategic HRM capabilities developed by these firms.

Using structural equation modeling to validate the research model, a causal analysis confirmed a positive influence of the sampled SMEs’ strategic orientation upon their development of strategic HRM capabilities. More importantly, a higher level of alignment between the SMEs’ strategic HRM and e-HRM capabilities was associated to a higher level of strategic HRM performance.

To our knowledge, ours is the first study to show interest in the effect of the strategic alignment of HRM and IT capabilities upon HRM performance, by adopting a configurational perspective and considering organizational IT from a functional point of view. Given the specific context of SMEs, the focus was on e-HRM capabilities related to the IT infrastructure of these organizations and the IT competencies of individuals related to HRM.

The purpose of this paper is to analyse the attitude of European firms towards human resource management (HRM) configuration and HRM practices on a country-level basis. Assuming the persistent relevance of institutional framework, the paper investigates the applicability of the varieties of capitalism (VoC) theory to these domains in European countries and their evolution between 1999 and 2005.

The paper selects and groups together variables that are related to both HRM configuration and HRM practices using data coming from the survey performed in 2005 by the Cranfield Network on International HRM. Then, a hierarchical cluster analysis among 16 European countries is performed. Relevant varieties are obtained through the combined application of two stopping rules.

Evidence shows that the evolution of HR policies over time is in line with an extended VoC approach that divides Europe in four VoC. One of these varieties (the “State” model), however, is not validated after a robustness check.

For HR managers, the implementation of common personnel policies within the same variety of capitalism could represent a potential fertile ground for beneficial interactions and mutual learning among HR functions. In particular, the classification suggested in the paper does matter if an intervention on HRM practices is accompanied by a change in the participation of the HR department to the decision-making process and/or in the delegation of responsibilities between the HR department and the line management.

The authors’ results contribute to the debate on the relationship between HRM and institutional context in two ways. First, they show that an extended VoC framework can explain the differentiation among European countries with regard to HRM domains. Notably, the correlation between the structure of the HR function and the intensity of HRM practices generates a clusterization of European countries based on at least three models of capitalism. Second, it emerges from the analysis that a substantial shift occurred with respect to the previous wave of the survey together with an increase of similarities between countries.

Agile project management methods gain increasing attention of practitioners while they often remain neglected by scholarly research. Specifically, there is little known about how performance factors of agile firms differ from those of traditional firms. Scholars argue that these factors often relate to a firm’s human resource management (HRM). This study aims to analyze and compare the HRM architectures in agile and traditional project-based organizations that lead to high firm performance.

The authors apply fuzzy-set qualitative comparative analysis on data of 154 project-based organizations of diverse professional service industries in Russia.

This study’s findings suggest that HRM architectures of high-performance agile firms imply a broad use of ability-, motivation- and opportunity-enhancing practices and a high degree of HRM process centralization, while traditional firms adopt more diverse HRM architectures.

Based on this study’s results, the authors stress the importance of ensuring a good fit between a company’s project management approach and HRM architecture. The revealed configurations may also provide guidance for practitioners on designing effective HRM architectures in project-based organizations.

There is currently a proliferation of digital analytics and machine/artificial intelligence productivity tools for creating and sustaining competitive advantage through strategic flexibility. Transformational e-HRM enables organizations to achieve and sustain competitive advantage through exploitation of these new productivity tools and approaches. However, it has been observed that many organizations have not been able to realize this. Using findings from an empirical exploration of e-HRM’s contribution to sustaining business performance, derived through an interpretative phenomenological analysis of a single case study, we propose in this chapter that for organizations to leverage the productivity gains of implementing Transformational e-HRM, HR and frontline managers require access to readily available artificial intelligence productivity tools. For e-HRM to contribute to sustaining business performance, we add to strategic flexibility theory that this can be realized by using e-HRM to enable strategic flexibility and adaptive capability. As we propose that it will be about organizations using the strategic capability derived by using Transformational e-HRM to create flexible and adaptive organizations. Its implications for practice are stated.

The purpose of this paper is to examine whether employee outcomes of employee performance and job satisfaction mediate and enhance the effect of e-HRM usage on organizational performance.

Data were collected through a survey involving 35 organizations using e-HRM systems. A partially mixed sequential dominant status explanatory design was used for the study. A stratified convenience sampling technique was used for the quantitative phase of the study. A purposive sampling technique was employed for the qualitative phase. A structural equation modelling technique with the use of the process macro approach was used to analyse collected data.

There is a positive relationship between e-HRM usage and employee outcomes. Employee performance and job satisfaction mediate the effect of e-HRM usage on organizational performance. Employee performance and job satisfaction are contextual variables that characterize effective e-HRM configurations.

Organizations should invest in employee outcomes in order to maximize the potential of e-HRM. The e-HRM configurations characterized by a multiplicity of dimensions are more likely to add to organizational value creation. The deployment of e-HRM systems should be preceded by high levels of employee performance and job satisfaction, for organizational success.

The study contributes to a growing body of knowledge on dimensions, which characterize effective e-HRM configurations, yielding organizational success. Employee performance and job satisfaction should be added to the characteristics of effective e-HRM configurations.

Enabled by increased (“big”) data stocks and advanced (“machine learning”) analyses, the concept of human resource analytics (HRA) is expected to systematically improve decisions in human resource management (HRM). Since so far empirical evidence on this is, however, lacking, the authors' study examines which combinations of data and analyses are employed and which combinations deliver on the promise of improved decision quality.

Theoretically, the paper employs a neo-configurational approach for founding and conceptualizing HRA. Methodically, based on a sample of German organizations, two varieties (crisp set and multi-value) of qualitative comparative analysis (QCA) are employed to identify combinations of data and analyses sufficient and necessary for HRA success.

The authors' study identifies existing configurations of data and analyses in HRM and uncovers which of these configurations cause improved decision quality. By evidencing that and which combinations of data and analyses conjuncturally cause decision quality, the authors' study provides a first confirmation of HRA success.

Major limitations refer to the cross-sectional and national sample and the usage of subjective measures. Major implications are the suitability of neo-configurational approaches for future research on HRA, while deeper conceptualizing and researching both the characteristics and outcomes of HRA constitutes a core future task.

The authors' paper employs an innovative theoretical-methodical approach to explain and analyze conditions that conjuncturally cause decision quality therewith offering much needed empirical evidence on HRA success.